MAŠKA, Martin, Ondřej DANĚK, Carlos ORTIZ-DE-SOLÓRZANO, Arrate MUÑOZ-BARRUTIA, Michal KOZUBEK and Ignacio FERNÁNDEZ GARCÍA. A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms. Online. In 16th Scandinavian Conference on Image Analysis. Berlin, Heidelberg: Springer-Verlag, 2009. p. 390-399. ISBN 978-3-642-02229-6. Available from: https://dx.doi.org/10.1007/978-3-642-02230-2_40. [citováno 2024-04-23]
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Basic information
Original name A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms
Name in Czech Dvoukroková segmentace buněčných jader pomocí rychlých Level Set algoritmů
Authors MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Ondřej DANĚK (203 Czech Republic, belonging to the institution), Carlos ORTIZ-DE-SOLÓRZANO (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Ignacio FERNÁNDEZ GARCÍA (724 Spain)
Edition Berlin, Heidelberg, 16th Scandinavian Conference on Image Analysis, p. 390-399, 10 pp. 2009.
Publisher Springer-Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/09:00067108
Organization unit Faculty of Informatics
ISBN 978-3-642-02229-6
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-02230-2_40
UT WoS 000268661000040
Keywords in English nucleus segmentation; touching nuclei; level set framework; contour evolution; topology preservation
Tags cbia-web, contour evolution, level set framework, nucleus segmentation, topology preservation, touching nuclei
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Martin Maška, Ph.D., učo 60734. Changed: 13/12/2015 02:07.
Abstract
An accurate localization of a cell nucleus boundary is inevitable for any further quantitative analysis of various subnuclear structures within the cell nucleus. In this paper, we present a novel approach to the cell nucleus segmentation in fluorescence microscope images exploiting the level set framework. The proposed method works in two phases. In the first phase, the image foreground is separated from the background using a fast level set-like algorithm by Nilsson and Heyden (2003). A binary mask of isolated cell nuclei as well as their clusters is obtained as a result of the first phase. A fast topology-preserving level set-like algorithm by Maška and Matula (2008) is applied in the second phase to delineate individual cell nuclei within the clusters. The potential of the new method is demonstrated on images of DAPI-stained nuclei of a lung cancer cell line A549 and promyelocytic leukemia cell line HL60.
Abstract (in Czech)
Článek pojednává o dvoukrokové segmentaci buněčných jader pomocí rychlých Level Set algoritmů
Links
LC535, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
2B06052, research and development projectName: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
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